Abstract:In order to weaken the influence of non-linear changes on the velocity field model and noise model, we propose a method which combines empirical mode decomposition and environmental loading correction. To prove the practicality of this method, we choose 2 a time series from 10 CORS stations in Xuzhou region. Firstly, we compute the times series using Bernese software, and use the detrended time series to reconstruct the periodic terms and residual terms. Then, we apply the environmental loading products released by GFZ to correct the reconstructed periodic terms, and use the harmonic function fitting and environmental loading correction method as a control. The results show that empirical mode decomposition and environmental loading correction method can reduce the non-linear term about 18% in average, which is better than the harmonic function fitting and environmental loading correction method. The corrections in the north and east directions have no apparent effect on each station, but the vertical direction correction effect is significant. The integrated product correction effect is better than single product correction effect.
YIN Taotao,WANG Qianxin. A Method to Weaken the Non-Linear Changes in the Coordinate Time Series of Regional CORS Stations[J]. jgg, 2021, 41(7): 695-699.